Willhaben Scraper

Pull listings from willhaben.at at scale — marketplace goods, real estate, cars, and jobs — with prices, GPS coordinates, full addresses, images, publish dates, and vertical-specific details on every row. Search by plain-text terms or paste any willhaben.at URL, and get one clean, structured row per listing across all four sections of Austria's largest classifieds marketplace. Built for Austrian market researchers, car dealers, real-estate analysts, and recruiters who need fresh willhaben data without manual copy-paste or hand-crafting search links.

Why This Scraper?

• All 4 willhaben verticals in one actor — marketplace goods (Marktplatz), real estate (Immobilien), cars (Auto & Motor), and jobs, auto-detected from the section you choose or the URL you paste.
• Plain-text search, no URL crafting — type "iPhone 15 Pro", "Wohnung Wien", or "BMW 3er" and pick a section, instead of hand-building willhaben.at links.
• One global result cap, no surprise bills — maxResults is a single total across every URL and search term combined, so two searches at 100 never silently balloon to 200.
• GPS coordinates + full address on every listing — latitude, longitude, city, postal code, district, and region, ready to map or geo-filter.
• Car specs out of the box — make, model, registration year, mileage in km, fuel type, transmission, power in kW and PS, condition, and previous-owner count, all resolved to readable German values (not raw codes).
• Real-estate detail fields — living area and plot area in m², room count, floor, price per m², gross rent, object type, and buy-vs-rent transaction type.
• Jobs with embedded company data — salary and pay cadence, employment modes (Vollzeit/Teilzeit), job locations, and a nested company object with name, logo, and willhaben company ID.
• Native price band + 4 sort orders — filter by minimum and maximum euro price and sort by newest, price low-to-high, price high-to-low, or relevance, all applied at the source.
• Clean camelCase output — readable field names with empty values stripped; no raw screaming-snake attribute keys or display-widget noise polluting your dataset.

Use Cases

Market Research

• Track asking prices for any product across the whole Austrian marketplace
• Map inventory by city, postal code, or region using built-in coordinates
• Compare listing volume and pricing between Vienna, Graz, Linz, and Salzburg
• Monitor how long goods, cars, or properties stay listed by publish date

Price Monitoring

• Build price-band watchlists with minimum and maximum euro filters
• Compare price per m² across real-estate neighborhoods
• Track used-car pricing by make, model, mileage, and registration year
• Detect underpriced listings the moment they appear with newest-first sorting

Car Dealer Intelligence

• Pull competitor inventory with full specs (mileage, fuel, power, condition)
• Identify private-seller vs. dealer listings by seller type
• Benchmark resale prices for a make/model across the country
• Spot fresh trade-in opportunities sorted by newest

Real-Estate Analysis

• Aggregate rent and buy listings with living area, rooms, and price per m²
• Map property supply by district and postal code
• Separate rental and purchase markets with the transaction type field
• Feed comparable-listing data into valuation models

Recruitment Intelligence

• Build job-market datasets with salary, employment mode, and location
• Track which companies are hiring and where, via the embedded company object
• Monitor open roles by keyword and region for talent sourcing
• Compare advertised salaries across employers and job titles

Getting Started

Simple Search

Type a search term and pick a section — that's it:

{
    "searchQueries": ["iphone"],
    "category": "marktplatz",
    "maxResults": 100
}

Filtered Car Search

Narrow a vehicle search by price and sort by newest:

{
    "searchQueries": ["BMW 3er"],
    "category": "auto",
    "minPrice": 5000,
    "maxPrice": 25000,
    "sortBy": "newest",
    "maxResults": 200
}

Paste a willhaben URL

Apply filters on willhaben.at, copy the URL from your browser, and reuse every facet:

{
    "startUrls": [
        "https://www.willhaben.at/iad/immobilien/mietwohnungen/wien"
    ],
    "maxResults": 150
}

Full-Featured Example

Combine URLs and search terms in one run:

{
    "startUrls": [
        "https://www.willhaben.at/iad/kaufen-und-verkaufen/marktplatz?keyword=macbook"
    ],
    "searchQueries": ["Wohnung Wien", "software"],
    "category": "immobilien",
    "minPrice": 100,
    "maxPrice": 2000,
    "sortBy": "price_asc",
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
startUrls	string[]	[]	One or more willhaben.at search, category, or result-list URLs. Apply your filters on the site, then paste the browser URL. Works for any section.
searchQueries	string[]	[]	Plain-text search terms (e.g. "iPhone 15 Pro", "Wohnung Wien", "BMW 3er"). Searched in the section chosen below.
category	select	Marketplace (goods)	Which section your search terms apply to: Marketplace, Real Estate, Cars & Motors, or Jobs. Only affects searchQueries — URLs carry their own section.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum total listings across all URLs and search terms combined. Set to 0 for no limit. Start with 50–100 to test, then scale up.
sortBy	select	Newest First	Order results are collected in: Newest First, Price Low to High, Price High to Low, or Most Relevant.

Filters

Parameter	Type	Default	Description
minPrice	integer	—	Only include listings priced at or above this amount in euros. Applies to sections with prices (marketplace, real estate, cars).
maxPrice	integer	—	Only include listings priced at or below this amount in euros. Applies to sections with prices (marketplace, real estate, cars).

Output

Each listing is one flat row. Common fields appear on every result; section-specific fields populate for real estate, cars, and jobs. Here's a representative marketplace result:

{
    "listingId": "1820394756",
    "category": "marktplatz",
    "url": "https://www.willhaben.at/iad/kaufen-und-verkaufen/d/apple-iphone-15-pro-256gb-1820394756/",
    "title": "Apple iPhone 15 Pro 256GB Titan",
    "description": "Top-Zustand, mit Originalverpackung und Rechnung.",
    "price": 899,
    "priceText": "899 €",
    "currency": "EUR",
    "publishedAt": "2026-05-27T09:14:00Z",
    "updatedAt": "2026-05-28T11:02:00Z",
    "sellerName": "Max M.",
    "sellerType": "private",
    "city": "Wien",
    "postalCode": "1100",
    "district": "Favoriten",
    "region": "Wien",
    "country": "Österreich",
    "latitude": 48.1734,
    "longitude": 16.3782,
    "imageUrls": ["https://cache.willhaben.at/mmo/example1.jpg"],
    "scrapedAt": "2026-05-29T14:30:00Z"
}

Core Fields (all sections)

Field	Type	Description
listingId	string	Unique willhaben ad ID
category	string	Section: marktplatz, immobilien, auto, or jobs
url	string	Canonical listing URL
title	string	Listing headline
description	string	Listing body text
price	number	Numeric price in EUR (null for jobs)
priceText	string	Display price string as shown on willhaben
currency	string	Currency code (EUR)
sellerName	string	Seller or advertiser name
sellerType	string	private or dealer
publishedAt	string	First publish date (ISO 8601)
updatedAt	string	Last modified date (ISO 8601)
imageUrls	string[]	Listing image URLs
scrapedAt	string	ISO timestamp of data extraction

Address & Location

Field	Type	Description
city	string	City or town
postalCode	string	Austrian postal code
district	string	District name
region	string	Federal state
country	string	Country
latitude	number	Latitude coordinate
longitude	number	Longitude coordinate

Real Estate (immobilien)

Field	Type	Description
transactionType	string	rent or buy (derived from the listing path)
objectType	string	Property type (apartment, house, etc.)
livingAreaM2	number	Living area in m²
plotAreaM2	number	Plot area in m²
roomCount	number	Number of rooms
floor	string	Floor
rentGross	number	Gross monthly rent
pricePerM2	number	Price per square meter
street	string	Street address

Cars & Motors (auto)

Field	Type	Description
make	string	Vehicle make
model	string	Vehicle model
yearBuilt	number	First registration year
mileageKm	number	Mileage in kilometers
fuelType	string	Fuel type (resolved, e.g. "Benzin", "Diesel")
transmission	string	Transmission (resolved, e.g. "Schaltgetriebe")
powerKw	number	Engine power in kW
powerPs	number	Engine power in PS
condition	string	Condition (resolved, e.g. "Gebrauchtwagen")
ownerCount	number	Number of previous owners

Jobs (jobs)

Field	Type	Description
position	string	Role or seniority level
salary	number	Advertised salary
salaryTimeFrame	string	Salary cadence (e.g. monthly, yearly)
employmentModes	string[]	Employment modes (Vollzeit, Teilzeit, etc.)
jobLocations	object[]	Job locations with name, federal state, and country
company	object	Hiring company: id, title, slugTitle, logoUrl

Tips for Best Results

• Start small — set maxResults to 50–100 on your first run to confirm the data matches your needs, then scale up.
• Paste a fully-filtered URL — apply every facet you want on willhaben.at (location, sub-category, attributes), then copy the browser URL into startUrls; the scraper reuses all of those filters automatically, including ones not exposed as inputs here.
• Pick the right section — category only steers your plain-text search terms. To search cars, set it to "Cars & Motors"; the same word in "Marketplace" returns very different results.
• The jobs section has no price — job listings carry salary instead of price, and price sorting falls back to newest. Use the price band only for marketplace, real estate, and cars.
• Combine inputs in one run — mix several URLs and search terms together; the global maxResults cap covers all of them so you never overspend.
• Use newest-first for monitoring — schedule a recurring run sorted by newest to catch fresh listings the moment they appear.
• Derive rent vs. buy from URLs — real-estate transactionType fills in reliably when you paste a rental (mietwohnungen) or purchase URL; generic plain-text property searches can't tell the two apart.

Pricing

$0.85 per 1,000 results — undercuts comparable willhaben scrapers while giving you a single, predictable result cap.

Results	Price
100	$0.09
1,000	$0.85
10,000	$8.50
100,000	$85.00

A "result" is any listing row in the output dataset. No compute charges — you only pay per result returned. Apify platform fees (storage) depend on your plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate market research, price monitoring, lead generation, and recruitment analysis. Users are responsible for complying with applicable laws and willhaben.at's Terms of Service. Do not use extracted data for spam, harassment, or any unlawful purpose, and handle any personal data in line with GDPR and Austrian data-protection law.